CN115867905A - Augmented reality based speech translation in travel situations - Google Patents

Abstract

Aspects of the present disclosure relate to a system including a computer-readable storage medium storing a program and a method for providing augmented reality content in association with travel. The programs and methods provide for: receiving, by a messaging application, a request to perform a scan operation in association with an image captured by a device camera; determining travel parameters associated with the request and attributes of an object depicted in the image; based on the travel parameters or At least one of the attributes selects an augmented reality content item configured to present the augmented reality content based on the speech input; receive the speech input; obtain at least one of a transcription or translation of the speech input; and present in association with the image Augmented reality content items that include transcriptions or translations.

Description

Augmented reality based speech translation in travel situations

priority claim

This application claims the benefit of priority to U.S. Application Serial No. 17/225,563, filed April 8, 2021, which claims priority to U.S. Provisional Application Serial No. 63/046,114, filed June 30, 2020 rights, the U.S. Provisional Application is hereby incorporated by reference in its entirety.

technical field

The present disclosure relates generally to messaging systems, including providing augmented reality content and capturing images.

Background technique

The messaging system provides for the exchange of message content between users. For example, a messaging system allows a user to exchange message content (eg, text, images) with one or more other users.

Description of drawings

In the drawings, which are not necessarily to scale, like reference numerals may depict similar components in the different views. For ease of identifying a discussion of any particular element or act, the most significant digit in a reference number refers to the figure number in which that element was first introduced. In the various figures of the drawings, some embodiments are shown by way of example and not limitation.

Figure 1 is a diagrammatic representation of a networked environment in which the present disclosure may be deployed, according to some example implementations.

2 is a diagrammatic representation of a messaging system with both client-side and server-side functionality, according to some example implementations.

Figure 3 is a diagrammatic representation of a data structure as maintained in a database, according to some example implementations.

Figure 4 is a diagrammatic representation of a message according to some example implementations.

FIG. 5 is an interaction diagram illustrating a process for providing augmented reality content corresponding to voice translation in association with travel, according to some example embodiments.

6A illustrates an example user interface in which a source of speech input for augmented reality-based speech translation corresponds to a device user, according to some example implementations.

6B illustrates an example user interface for providing augmented reality-based speech translation for speech input provided by a device user, according to some example implementations.

7A illustrates an example user interface in which a source of speech input for augmented reality-based speech translation corresponds to an individual other than a device user, according to some example implementations.

7B illustrates an example user interface for providing augmented reality-based speech translation for speech input provided by an individual other than a device user, according to some example embodiments.

8A illustrates an example user interface for providing augmented reality-based speech translation for speech input provided by a television, according to some example implementations.

8B illustrates another example user interface for providing augmented reality-based speech translation for speech input provided by a television, according to some example implementations.

FIG. 9 is a flowchart illustrating a process for providing augmented reality content corresponding to voice translation in association with travel, according to some example embodiments.

Figure 10 is a flowchart of an access restriction process according to some example implementations.

11 is a diagrammatic representation of a machine in the form of a computer system within which a set of instructions may be executed to cause the machine to perform any one or more of the methods discussed herein, according to some example embodiments.

Figure 12 is a block diagram illustrating a software architecture within which an example may be implemented, according to some example implementations.

Detailed ways

Messaging systems typically allow users to exchange content items (eg, messages, images, and/or videos) with each other in message threads. The messaging system may implement or otherwise work in conjunction with the enhancement system to enhance media content associated with the message. For example, an augmentation system may combine overlays, filters, and/or augmented reality content with image data captured by device cameras. However, users may wish to facilitate the creation and/or selection of augmented reality content while traveling.

The disclosed embodiments provide for presenting augmented reality content corresponding to speech translations in association with travel. In response to a user request to perform a scanning operation, the messaging client determines travel parameters associated with the request and attributes of objects depicted in the image.

The messaging client selects an augmented reality content item (eg, corresponding to an augmented reality experience) based on travel parameters and/or attributes. The augmented reality content item is configured to present the augmented reality content based on the speech input associated with the request. The messaging client obtains a transcription and/or translation of the speech input and presents an augmented reality content item in association with the image, the augmented reality content item including at least one of the transcription or the translation.

1 is a block diagram illustrating an example messaging system 100 for exchanging data (eg, messages and associated content) over a network. Messaging system 100 includes multiple instances of client devices 102 each hosting multiple applications including messaging clients 104 . Each message client 104 is communicatively coupled to other instances of the message client 104 and to the message server system 108 via a network 106 (eg, the Internet).

A message client 104 is capable of communicating and exchanging data with another message client 104 and a message server system 108 via a network 106 . Data exchanged between message clients 104 and between message clients 104 and message server system 108 includes functions (eg, commands to activate functions) and payload data (eg, text, audio, video, or other multimedia data).

Message server system 108 provides server-side functionality to particular message clients 104 via network 106 . Although certain functions of message system 100 are described herein as being performed by message client 104 or by message server system 108, the location of certain functions within message client 104 or message server system 108 may be a design choice. For example, it may be technically preferable to initially deploy certain technology and functionality within the message server system 108, but later migrate the technology and functionality to the message client 104 where the client device 102 has sufficient processing power.

Message server system 108 supports various services and operations provided to message clients 104 . Such operations include sending data to message client 104 , receiving data from message client 104 , and processing data generated by message client 104 . As examples, this data may include message content, client device information, geolocation information, media enhancements and overlays, message content persistence conditions, social network information, and live event information. Data exchange within messaging system 100 is activated and controlled through functionality available via a user interface (UI) of messaging client 104 .

Turning now specifically to message server system 108 , application programming interface (API) server 110 is coupled to application server 114 and provides a programming interface to application server 114 . The application server 114 is communicatively coupled to a database server 122 that facilitates access to a database 124 that stores data associated with messages processed by the application server 114 . Similarly, web server 112 is coupled to application server 114 and provides a web-based interface to application server 114 . To this end, web server 112 handles incoming web requests via Hypertext Transfer Protocol (HTTP) and several other related protocols.

Application programming interface (API) server 110 receives and sends message data (eg, commands and message payloads) between client device 102 and application server 114 . Specifically, an application program interface (API) server 110 provides a set of interfaces (eg, routines and protocols) that a message client 104 can call or query to activate the functionality of the application server 114 . Application Program Interface (API) server 110 exposes various functions supported by application server 114, including: account registration; login functionality; sending messages from a particular messaging client 104 to another messaging client 104 via application server 114; sending media Files (e.g., images or videos) are sent from a messaging client 104 to a messaging server 116 for possible access by another messaging client 104; settings for media data collections (e.g., stories); retrieval of friends of a user of the client device 102 lists; retrieving such collections; retrieving messages and content; adding and removing entities (e.g., friends) in entity graphs (e.g., social graphs); locating friends in social graphs; and opening application events (e.g., with messaging client 104 related).

Application server 114 hosts a number of server applications and subsystems including, for example, messaging server 116 , image processing server 118 , and social networking server 120 . Message server 116 implements a number of message processing techniques and functions, particularly message processing related to aggregation and other processing of content (e.g., text and multimedia content) included in messages received from multiple instances of message client 104 technology and functionality. As will be described in further detail, text and media content from multiple sources can be aggregated into collections of content (eg, referred to as stories or galleries). These collections are then made available to message client 104 . Given the hardware requirements for such processing, other processor and memory intensive processing of data may also be performed by the message server 116 on the server side.

The application server 114 also includes an image processing server 118 dedicated to performing various image processing operations, typically with respect to image or video within the payload of a message sent from or received at the message server 116 , to perform various image processing operations.

Social networking server 120 supports and makes various social networking functions and services available to message server 116 . To this end, social networking server 120 maintains and accesses entity graph 304 (shown in FIG. 3 ) within database 124 . Examples of functions and services supported by social networking server 120 include identifying other users in messaging system 100 who have a relationship with or are "following" a particular user, as well as identifying interests and other entities of a particular user.

FIG. 2 is a block diagram illustrating further details regarding messaging system 100 according to some examples. In particular, messaging system 100 is shown including messaging client 104 and application server 114 . Messaging system 100 includes a number of subsystems supported on the client side by messaging client 104 and on the server side by application server 114 . These subsystems include ephemeral timer system 202 , collection management system 204 , augmentation system 208 , map system 210 , object detection system 212 , and/or transcription and translation system 212 , for example.

Ephemeral timer system 202 is responsible for enforcing temporary or time-limited access to content by messaging clients 104 and messaging servers 116 . Ephemeral timer system 202 includes a plurality of timers that selectively enable access via message client 104 (e.g., for presentation) based on duration and display parameters associated with a message or collection of messages (e.g., stories). and display) messages and associated content. Additional details regarding the operation of ephemeral timer system 202 are provided below.

Collection management system 204 is responsible for managing collections or collections of media (eg, collections of text, image video, and audio data). Collections of content (eg, messages, including images, video, text, and audio) can be organized into "event galleries" or "event stories." Such a collection may be made available for a specified period of time, such as the duration of an event related to the content. For example, concert-related content may be made available as a "story" for the duration of the concert. Collection management system 204 may also be responsible for publishing an icon to the user interface of message client 104 that provides notification of the existence of a particular collection.

Additionally, collection management system 204 also includes a curation interface 206 that allows a collection manager to manage and curate a particular collection of content. For example, the curation interface 206 enables an event organizer to curate a collection of content related to a particular event (eg, delete inappropriate content or redundant messages). In addition, collection management system 204 employs machine vision (or image recognition technology) and content rules to automatically curate content collections. In some examples, the user may be paid compensation for including user-generated content in the collection. In such cases, collection management system 204 operates to automatically pay such users for use of their content.

Enhancement system 208 provides various functions that enable a user to enhance (eg, annotate or otherwise modify or edit) media content associated with a message. For example, enhancement system 208 provides functionality related to generating and publishing media overlays for messages processed by messaging system 100 . The enhancement system 208 is operable to provide media overlays or enhancements (eg, image filters) to the message client 104 based on the geographic location of the client device 102 . In another example, the enhancement system 208 is operable to supply the messaging client 104 with media overlays based on other information, such as social network information of the user of the client device 102 . Media overlays can include audio and visual content as well as visual effects. Examples of audio and visual content include pictures, text, logos, animations and sound effects. Examples of visual effects include color overlays. Audio and visual content or visual effects may be applied to media content items (eg, photos) at client device 102 . For example, media overlays may include text or images that may be overlaid on a photo taken by client device 102 . In another example, the media overlay includes a location identification (eg, Venice Beach) overlay, a name of a live event, or a business name (eg, a beach cafe) overlay. In another example, the enhancement system 208 uses the geolocation of the client device 102 to identify media overlays that include the name of the merchant at the geolocation of the client device 102 . The media overlay may include other indicia associated with the business. Media overlays may be stored in database 124 and accessed through database server 122 .

In some examples, enhancement system 208 provides a user-based publishing platform that enables users to select a geographic location on a map and upload content associated with the selected geographic location. Users may also specify circumstances under which certain media overlays should be provided to other users. The enhancement system 208 generates a media overlay that includes the uploaded content and associates the uploaded content with the selected geographic location.

In other examples, the enhancement system 208 provides a merchant-based publishing platform that enables merchants to select specific media overlays associated with geolocations via bidding processes. For example, the enhancement system 208 associates the media coverage of the highest bidding merchant with a corresponding geographic location for a predefined amount of time.

Mapping system 210 provides various geolocation functions and supports rendering of map-based media content and messages by messaging client 104 . For example, the mapping system 210 enables user icons or avatars (e.g., stored in association in profile data 302 as described below) to be displayed on a map to indicate the current or past locations of the user's "friends," and Media content (eg, collections of messages including photos and videos) generated by these friends within the context of the map. For example, on the map interface of messaging client 104, messages posted by a user to messaging system 100 from a particular geographic location may be displayed to a particular user's "friends" within the context of that particular location on the map. A user may also share his or her location and situation information with other users of the messaging system 100 (e.g., using an appropriate situation avatar as described herein) via the messaging client 104, similarly in the messaging client 104. The selected user is displayed within the context of the map interface of the terminal 104.

Object detection system 212 provides various object detection functions within the context of messaging system 100 . Object detection system 212 may employ one or more object classifiers to identify objects depicted in captured images. The images may correspond to a live video feed captured by a camera of client device 102 (eg, a rear-facing camera or a front-facing camera). Alternatively or in addition, the images may correspond to images (eg, photos) stored in association with a user of client device 102 (eg, a photo library).

In one or more embodiments, object detection system 212 is configured to implement or otherwise access object recognition algorithms (eg, including machine learning algorithms) configured to scan captured images, and detect/track objects within the images of the mobile. As non-limiting examples, detectable objects within an image include: human faces, parts of the human body, animals and their parts, landscapes, natural objects, inanimate objects (e.g., buildings, store fronts, food, clothing, chairs, books, etc.) , cars, buildings, other structures), descriptions of objects (for example, on posters and/or leaflets), text-based objects, equation-based objects, etc.

Additionally, object detection system 212 is configured to determine or otherwise access attributes of objects. For a particular object, object detection system 212 may determine or retrieve attributes such as name/type, genre, color, size, shape, texture, environmental factors (e.g., geolocation, time, weather), and/or other supplemental information (e.g. song title/artist for objects corresponding to media).

Regarding environmental factors, object detection system 212 may receive information from messaging client 104 to identify weather, geographic location, time, etc. around client device 102 (eg, via device sensors). Object detection system 212 may rank the retrieved attributes based on relevance (eg, based on the attribute's association with one or more environmental factors). Other machine learning techniques can be employed to select and rank the retrieved attributes. Object detection system 212 may select the object associated with the highest ranked attribute from the list of objects detected in the captured image, and may send an indication of the selected object to messaging client 104 . Alternatively or additionally, object detection system 212 may provide for communication of one or more attributes (eg, name/type) and/or an indication of the rank of the attributes of each detected object to message client 104 .

In one or more implementations, object detection system 212 determines that one of the attributes corresponds to a keyword that has been sponsored by a third party. For example, third parties may sponsor or pay to rank higher for certain keywords than others. In response to determining that a given attribute corresponds to a sponsored keyword, object detection system 212 may provide a higher ranking for that attribute relative to other attributes.

The transcription and translation system 214 is configured to provide various functions related to speech recognition, transcription and/or translation. In one or more implementations, the transcription and translation system 214 is configured to receive speech input (eg, via a device microphone). Transcription and translation system 214 may apply automatic speech recognition (ASR) algorithms or other known techniques to speech input and provide machine-encoded text as output. In one or more implementations, the transcription and translation system 214 provides, for example, machine-encoded text in transcribed form corresponding to the entire speech input. Alternatively or in addition, transcription and translation system 214 may provide machine-encoded text in the form of one or more text-based keywords derived from the speech input.

The transcription and translation system 214 also provides various functions related to language translation. In one or more implementations, the transcription and translation system 214 is configured to implement or otherwise access algorithms and/or techniques for translating textual input from a first language to a second language. For example, in response to a request for translation, transcription and translation system 214 may receive speech input, generate machine-encoded text corresponding to the speech input (e.g., corresponding to a transcription), and translate the machine-encoded text from a first language to a second language (for example, corresponding to translation). The transcription and translation system 214 is also configured to provide translated text as output. Alternatively or in addition, transcription and translation system 214 is configured to implement or otherwise access algorithms and/or techniques for converting translated text into audio output. Accordingly, the transcription and translation system 214 is configured to receive speech as input and output one or more of keywords, transcriptions, and/or translations for display and/or for audio output.

3 is a schematic diagram illustrating a data structure 300 that may be stored in database 124 of message server system 108, according to some examples. While the contents of database 124 are shown as including multiple tables, it will be appreciated that data may be stored in other types of data structures (eg, as an object-oriented database).

Database 124 includes message data stored in message table 306 . For any particular message, the message data includes at least message sender data, message recipient (or receiver) data, and payload. Additional details regarding information that may be included in a message and included in message data stored in message table 306 are described below with reference to FIG. 4 .

Entity table 308 stores entity data and is (eg, referentially) linked to entity graph 304 and profile data 302 . Entities whose records are maintained in entity table 308 may include individuals, corporate entities, organizations, objects, places, events, and the like. Regardless of the entity type, any entity about which message server system 108 stores data may be an identified entity. Each entity is provided with a unique identifier, as well as an entity type identifier (not shown).

The entity graph 304 stores information about relationships and associations between entities. By way of example only, such relationships may be interest-based or activity-based professional relationships (eg, working in a common company or organization), social relationships.

Profile data 302 stores various types of profile data about a particular entity. Profile data 302 may be selectively used and presented to other users of messaging system 100 based on privacy settings specified by a particular entity. Where the entity is an individual, profile data 302 includes, for example, a username, phone number, address, settings (e.g., notification and privacy settings), and an avatar (or collection of such avatars) selected by the user (if any). if). A particular user may then selectively include one or more of these avatar representations in the content of messages communicated via messaging system 100 and on map interfaces displayed by messaging client 104 to other users.

Where the entity is a community, the profile data 302 for the community may similarly include one or more avatars associated with the community in addition to the community name, members, and various settings related to the community (e.g., notifications) express.

The database 124 also includes a travel parameter table 318 for storing the user's corresponding travel parameters. Although travel parameter table 318 is depicted as being separate from profile data 302 , travel parameter table 318 may be included as part of profile data 302 . Accordingly, each entity/user may have corresponding travel parameters associated with it. Examples of travel parameters include, but are not limited to: travel schedules, transportation schedules, language, general location, specific places or landmarks, activities, participants (e.g., friends participating in all or part of the trip), and/or topics of interest .

The messaging system 100 may populate the travel parameter table based on user-submitted content provided within the messaging client 104 (e.g., content within a messaging thread, and/or content associated with a travel planning user interface provided by the messaging system 100) 318. Alternatively or in addition, messaging system 100 may populate database 124 based on content from third-party applications (eg, content from third-party email/text messaging applications, calendar applications, flight applications, hotel applications, etc.). In one or more implementations, the user may opt-in and/or otherwise authorize the travel parameter table 318 to be populated with content from within the messaging system 100 and/or from third-party applications.

Database 124 also stores enhancement data, such as overlays or filters, in enhancement table 310 . Enhancement data is associated with and applied to video (data for video is stored in video table 314 ) and image (data for image is stored in image table 316 ).

In one example, a filter is an overlay displayed as an overlay over an image or video during presentation to a recipient user. The filters may be of various types, including a user-selected filter from a set of filters presented to the sending user by the message client 104 while the sending user is composing the message. Other types of filters include geolocation filters (also referred to as geofilters), which can be presented to the sending user based on geolocation. For example, proximity or particular location-specific geolocation filters may be presented within the user interface by messaging client 104 based on geolocation information determined by a global positioning system (GPS) unit of client device 102 .

Another type of filter is a data filter, which may be selectively presented to the sending user by message client 104 based on other input or information collected by client device 102 during the message creation process. Examples of data filters include the current temperature at a particular location, the current speed at which the sending user is traveling, the battery life of the client device 102, or the current time.

Other augmented data that may be stored within image table 316 includes augmented reality content items (eg, corresponding to application shots or augmented reality experiences). Augmented reality content items can be real-time special effects and sounds that can be added to images or videos.

As noted above, augmented data includes augmented reality content items, overlays, image transforms, AR images, and similar terms referring to modifications that can be applied to image data (eg, video or images). This includes real-time modification, which modifies the image as it is captured using a device sensor (e.g., one or more cameras) of the client device 102 and then displays it with the modification on the screen of the client device 102 image. This also includes modifications to stored content, such as video clips in a gallery that can be modified. For example, in a client device 102 that has access to multiple augmented reality content items, a user may use a single video segment with multiple augmented reality content items to see how different augmented reality content items would modify the stored segment. For example, multiple augmented reality content items applying different pseudo-random motion models may be applied to the same content by selecting different augmented reality content items for the same content. Similarly, real-time video capture can be used with the modifications shown to show how the video image currently being captured by the sensor of the client device 102 will modify the captured data. Such data may simply be displayed on the screen without being stored in memory, or what is captured by the device's sensors may be recorded and stored in memory with or without modification (or both). In some systems, a preview function can simultaneously show how different items of augmented reality content will look in different windows of the display. For example, this enables multiple windows with different pseudo-random animations to be viewed on the display at the same time.

Thus, various systems using the data of an augmented reality content item, or other such transformation systems that modify content using that data, may involve the transformation of objects (e.g., faces, hands, bodies, cats, dogs, surfaces, objects, etc.) Detection, tracking of these objects as they leave the field of view, enter the field of view, and move around the field of view, and the modification or transformation of these objects while tracking them. In various implementations, different methods for implementing such transformations may be used. Some examples may involve generating a three-dimensional mesh model of one or more objects, and using the model's transforms and animated textures within the video to effectuate the transformation. In other examples, tracking of points on the object may be used to place an image or texture (which may be two-dimensional or three-dimensional) at the tracked location. In still further examples, neural network analysis of video frames can be used to place images, models, or textures within content (eg, images or video frames). AR content items thus refer both to the images, models, and textures used to create transformations within the content, as well as to the additional modeling and analysis information required to achieve such transformations through object detection, tracking, and placement.

Real-time video processing may be performed using any kind of video data (eg, video streams, video files, etc.) stored in the memory of any kind of computerized system. For example, a user can load a video file and save it in the device's memory, or the device's sensors can be used to generate a video stream. Furthermore, computer animation models can be used for any object such as human faces and parts of the human body, animals or non-living things such as chairs, cars or other objects.

In some examples, when a particular modification is selected along with the content to be transformed, the element to be transformed is identified by the computing device and then detected and tracked if the element to be transformed is present in a frame of the video. Modify the elements of the object according to the modification request, thus transforming the frame of the video stream. For different kinds of transformations, the transformation of the frames of the video stream can be performed by different methods. For example, for frame transformations that primarily involve changing the form of object elements, feature points are computed for each element of the object (eg, using Active Shape Modeling (ASM) or other known methods). Then, a feature point-based mesh is generated for each of the at least one element of the object. This grid is used in subsequent stages to track elements of objects in the video stream. In the tracking process, the mesh of each element mentioned is aligned with the position of each element. Then, generate additional points on the mesh. A first set of first points is generated for each element based on the modification request, and a second set of points is generated for each element based on the set of first points and the modification request. Frames of the video stream may then be transformed by modifying elements of the object based on the first set of points and the second set of points and the mesh. In such methods, the background of the modified object may also be changed or deformed by tracking and modifying the background.

In some examples, a transformation that changes some regions of an object using elements of the object may be performed by calculating feature points for each element of the object and generating a mesh based on the calculated feature points. Generate points on the mesh, and then generate various regions based on those points. The elements of the object are then tracked by aligning the region of each element with the position of each of the at least one element, and the attributes of the region can be modified based on the request for modification, thereby transforming the frames of the video stream. Depending on the specific modification request, the attributes of the mentioned area can be transformed in different ways. Such modification may involve: changing the color of the region; removing at least some portions of the region from the frame of the video stream; including one or more new objects in the region based on the modification request; modification or deformation. In various implementations, any combination of such modifications or other similar modifications may be used. For some models to be animated, some feature points can be selected as control points for use in determining the entire state space of options for model animation.

In some examples of computer animation models that use face detection to transform image data, faces are detected on the image using a specific face detection algorithm (eg, Viola-Jones). Then, an active shape model (ASM) algorithm is applied to the face region of the image to detect facial feature reference points.

In other examples, other methods and algorithms suitable for face detection may be used. For example, in some implementations, features are located using landmarks representing distinguishable points present in most of the images under consideration. For example, for facial landmarks, the location of the pupil of the left eye can be used. Secondary landmarks may be used if the initial landmarks are not identifiable (for example, if the person has a blindfold). Such a landmark identification process can be used for any such objects. In some examples, a set of landmarks forms a shape. Shapes can be represented as vectors using the coordinates of the points in the shape. One shape is aligned to another shape using a similarity transformation (allowing translation, scaling, and rotation) that minimizes the average Euclidean distance between shape points. Average shape is the mean of the aligned training shapes.

In some examples, the landmark is searched starting from an average shape aligned with the location and size of the face determined by the global face detector. Such a search then repeats the steps of suggesting a tentative shape by adjusting the location of the shape points by template matching of the image texture around each point, and then fitting the tentative shape to the global shape model until convergence occurs. In some systems, individual template matches are unreliable, and the shape model pools the results of weak template matches to form a stronger overall classifier. The entire search is repeated at each level of the image pyramid from coarse resolution to fine resolution.

The transformation system can capture images or video streams on the client device 102 and perform complex image manipulations locally on the client device 102 while maintaining appropriate user experience, computation time, and power consumption. Sophisticated image manipulations can include size and shape changes, mood transformations (e.g., changing a face from frowning to smiling), state transformations (e.g., aging subjects, reducing apparent age, changing gender), style transformations, graphic Element application, as well as any other suitable image or video manipulation implemented by a convolutional neural network that has been configured to execute efficiently on client device 102 .

In some examples, a computer animation model for transforming image data may be used by a system in which a user may use a client device 102 with a neural network to capture an image or video stream (e.g., a selfie) of the user, the The neural network operates as part of the messaging client 104 operating on the client device 102 . A transformation system operating within message client 104 determines the presence of a face in an image or video stream and provides a modification icon associated with a computer animation model to transform the image data, or the computer animation model may be presented as an interface with the herein described Associated. Modifying an icon includes changes that may be the basis for modifying a user's face in an image or video stream as part of a modification operation. Once a modifier icon is selected, the transformation system initiates the process of transforming the user's image to reflect the selected modifier icon (eg, generating a smiley face on the user). Once the image or video stream is captured and the specified modification selected, the modified image or video stream may be presented in a graphical user interface displayed on the client device 102 . A transformation system can implement a complex convolutional neural network on a portion of an image or video stream to generate and apply selected modifications. That is, once a modification icon is selected, the user can capture an image or video stream and present the modification results in real-time or near real-time. Furthermore, the modification can be persistent and the selected modification icon remains toggled while the video stream is being captured. Machine-taught neural networks can be used to implement such modifications.

Presenting the modified graphical user interface performed by the transformation system may provide the user with additional interaction options. Such options may be based on the interface used to initiate selection of a particular computer animation model and content capture (eg, from a content creator user interface). In various implementations, the modification may be persistent after the initial selection of the modification icon. The user can toggle the modification on or off by tapping or otherwise selecting the face being modified by the transformation system and store it for later viewing or browse to other areas of the imaging application. In the case of multiple faces being modified by the transformation system, the user can globally turn the modification on or off by tapping or selecting a single face to be modified and displayed within the graphical user interface. In some embodiments, each face of a set of multiple faces can be individually modified by tapping or selecting an individual face or series of individual faces displayed within the graphical user interface, or such modification can be toggled individually.

The stories table 312 stores data about collections of messages and associated image, video, or audio data compiled into collections (eg, stories or galleries). Creation of a particular collection may be initiated by a particular user (eg, each user whose records are kept in entity table 308). A user may create a "personal story" in the form of a collection of content already created and sent/broadcast by that user. To this end, the user interface of messaging client 104 may include user-selectable icons to enable the sending user to add specific content to his or her personal story.

A collection may also constitute a "live story" that is a collection of content from multiple users that is created manually, automatically, or using a combination of manual and automatic techniques. For example, "Live Stories" may constitute a curated stream of user-submitted content from different locations and events. A user whose client device has location services enabled and is at a co-location event at a particular time may be presented with the option to contribute content to a particular live story, eg, via a user interface of the messaging client 104 . Live stories may be identified to the user by messaging client 104 based on his or her location. The end result is a "live story" told from a group perspective.

Another type of content collection is called a "located story" that enables users whose client devices 102 are located within a particular geographic location (eg, on a college or university campus) to contribute to a particular collection. In some examples, contributions to a location story may require a second level of authentication to verify that the end user belongs to a particular organization or other entity (eg, is a student on a college campus).

As mentioned above, video table 314 stores video data associated with messages whose records are stored in message table 306 in one example. Similarly, image table 316 stores image data associated with messages whose message data is stored in entity table 308 . Entity table 308 may associate various enhancements from enhancement table 310 with various images and videos stored in image table 316 and video table 314 .

4 is a schematic diagram illustrating the structure of a message 400 generated by a message client 104 for transmission to another message client 104 or message server 116, according to some examples. The content of the particular message 400 is used to populate a message table 306 stored in the database 124 , which is accessible by the message server 116 . Similarly, the content of message 400 is stored in memory as “in-transit” or “in-flight” data for client device 102 or application server 114 . Message 400 is shown including the following example components:

• Message Identifier 402 : A unique identifier that identifies the message 400 .

• Message Text Payload 404 : Text to be generated by the user via the user interface of the client device 102 and included in the message 400 .

• Message Image Payload 406 : image data captured by the camera component of the client device 102 or retrieved from the memory component of the client device 102 and included in the message 400 . Image data of the sent or received message 400 may be stored in the image table 316 .

• Message Video Payload 408 : Video data captured by the camera component or retrieved from the memory component of the client device 102 and included in the message 400 . Video data of the message 400 sent or received may be stored in the video table 314 .

• Message Audio Payload 410 : audio data captured by a microphone or retrieved from a memory component of the client device 102 and included in the message 400 .

• Message enhancement data 412 : enhancement data (eg, filters, stickers, or other annotations or enhancements) representing enhancements to be applied to the message image payload 406 , message video payload 408 , or message audio payload 410 of the message 400 . Enhancement data for sent or received message 400 may be stored in enhancement table 310 .

Message duration parameter 414: A parameter value indicating that the content of the message (e.g., message image payload 406, message video payload 408, message audio payload 410) will be presented to the user via the message client 104 or made relevant to the message The amount of time in seconds that the user has access to.

• Message Geolocation Parameters 416: Geolocation data (eg, latitude and longitude coordinates) associated with the content payload of the message. Multiple message geolocation parameter 416 values may be included in the payload, each of these parameter values being valid with respect to a content item included in the content (e.g., a particular image or message video within message image payload 406). specific video in payload 408).

• Message Story Identifier 418 : An identifier value that identifies one or more collections of content (eg, “Stories” identified in the Stories table 312 ) associated with a particular content item in the message image payload 406 of the message 400 . For example, multiple images within message image payload 406 may each be associated with multiple content sets using identifier values.

• Message tags 420: Each message 400 may be tagged with a plurality of tags, each of which indicates the subject of the content included in the message payload. For example, where a particular image included in message image payload 406 depicts an animal (eg, a lion), a tag value may be included within message tag 420 that indicates the associated animal. Tag values may be generated manually based on user input, or may be automatically generated using, for example, image recognition.

• Message Sender Identifier 422: An identifier (eg, a messaging system identifier, email address, or device identifier) indicating the user of the client device 102 on which the message 400 was generated and from which the message 400 was sent.

• Message Recipient Identifier 424: An identifier indicating the user of the client device 102 to which the message 400 is addressed (eg, a messaging system identifier, email address, or device identifier).

The content (eg, value) of each component of message 400 may be a pointer to a location in a table within which the content data value is stored. For example, an image value in message image payload 406 may be a pointer (or address) to a location within image table 316 . Similarly, values within message video payload 408 may point to data stored within video table 314, values stored within message enhancement 412 may point to data stored within enhancement table 310, values stored within message story identifier 418 Values may point to data stored in stories table 312 and values stored in message sender identifier 422 and message recipient identifier 424 may point to user records stored in entity table 308 .

FIG. 5 is an interaction diagram illustrating a process 500 for providing augmented reality content corresponding to speech translation in association with travel, according to some example implementations. For purposes of illustration, process 500 is described herein primarily with reference to message client 104 of FIG. 1 and enhancement system 208 and transcription and translation system 214 of FIG. 2 . However, one or more blocks (or operations) of process 500 may be performed by one or more other components and/or by other suitable devices. Further for purposes of explanation, the blocks (or operations) of process 500 are described herein as occurring serially or linearly. However, multiple blocks (or operations) of process 500 may occur in parallel or simultaneously. Additionally, the blocks (or operations) of process 500 need not be performed in the order shown, and/or one or more blocks (or operations) of process 500 need not be performed and/or may be replaced by other operations. Process 500 may terminate when its operations are complete. Additionally, process 500 may correspond to a method, procedure, algorithm, or the like.

Message client 104 may be associated with a corresponding user of message server system 108 , and the user may be associated with a user account of message server system 108 . As noted above, message server system 108 may identify a user based on a unique identifier (eg, messaging system identifier, email address, and/or device identifier) associated with the user's user account. Additionally, message server system 108 may implement and/or work in conjunction with social networking server 124 configured to identify other users (eg, friends) with whom a particular user has a relationship.

As described herein, message client 104 (eg, in conjunction with message server system 108 ) receives a user request to perform a scan operation. In response, messaging client 104 determines travel parameters associated with the request and attributes of objects depicted in the image. Messaging client 104 selects an augmented reality content item (eg, corresponding to an augmented reality experience) based on travel parameters and/or attributes. The augmented reality content item is configured to present the augmented reality content based on the speech input associated with the request. The messaging client 104 obtains a transcription and/or translation of the speech input and presents an augmented reality content item in association with the image, the augmented reality content item including at least one of the transcription or the translation.

At block 502, the messaging client 104 receives user input corresponding to performing a scan operation on the captured image (block 502). As described herein, performing a scanning operation corresponds to identifying objects depicted in captured images. In one or more implementations, the messaging client 104 activates the camera of the client device 102 (eg, upon startup of the messaging client 104 ). The messaging client 104 allows a user to request that one or more items in the camera feed captured by the camera be scanned. In one or more implementations, the messaging client 104 detects physical contact between a finger of the user's hand and an area of the touch screen for a threshold period of time (eg, corresponding to a press and hold gesture). For example, the messaging client 104 determines that the user touched their finger and held their finger on the screen for a threshold time (eg, two seconds).

In alternative implementations, the press and hold gesture may be performed in association with the carousel interface (eg, separate from the launch interface, as discussed below with respect to FIGS. 7A-7B ). Within the carousel interface, an augmented reality content item for modifying the captured image to include augmented reality content may have been selected prior to receiving user input. With regard to the press and hold gesture, the augmented reality content item may, in some implementations, include a scan prompt that prompts the user for input to perform a scan operation. For example, the scan prompt may include text prompting the user to perform a press and hold gesture (eg, "press and hold to scan") within graphical boundaries defining a predefined screen area.

As an alternative to a press-and-hold gesture, messaging client 104 may receive user selection of a dedicated scan option (eg, a scan button) presented with the camera feed. Accordingly, in response to a user request to perform a scanning operation, messaging client 104 processes captured images (eg, live video feeds) to identify objects in the images. Alternatively or additionally, the messaging client 104 processes the captured audio input, eg, to detect whether the user issued a voice command associated with the user input to perform a scan operation.

The messaging client 104 determines travel parameters associated with the user input and/or attributes of objects depicted in the captured image (block 504). As described above with respect to travel parameter table 318, messaging client 104 in conjunction with messaging system 100 may be configured to access (e.g., based on appropriate user permissions) data related to the user's travel and populate travel parameter table 318 accordingly . The travel parameters table 318 may store information corresponding to user-submitted content provided within the messaging client 104 (e.g., content within a messaging thread, and/or content associated with a travel planning user interface provided by the messaging system 100). travel parameters. In another example, travel parameters table 318 may store travel parameters corresponding to content from third-party applications (eg, content from email/text messages, calendar applications, flight applications, hotel applications). In one or more embodiments, the travel parameters indicate one or more of the following: travel schedule, transit schedule, language, general location (e.g., city, state, etc.), specific location or landmark, event, Participants (eg, friends) and/or topics of interest.

As shown in FIG. 5, block 506 also includes determining attributes of objects depicted in the image. Although not shown in FIG. 5 , detection of objects and/or determination of attributes of objects may be performed in conjunction with object detection system 212 . For example, messaging client 104 may send a request to object detection system 212 to identify an object in a captured image. In response, object detection system 212 determines attributes of objects in the captured image. As noted above, object detection system 212 may correspond to a subsystem of messaging system 100 and may be supported on the client side by messaging client 104 and/or on the server side by application server 122 . In one or more implementations, detection of objects within captured images can be accomplished on the client side, server side, and/or a combination of client and server sides.

As further described above, object detection system 212 is configured to implement or otherwise access object recognition algorithms (eg, including machine learning algorithms) configured to scan captured images and detect/track objects within the images of the mobile. Object detection system 212 is also configured to determine or otherwise access attributes of identified objects. As discussed below with respect to FIGS. 6A-6B , 7A-7B , and 8A-8B , object detection system 212 may determine, for example, the type of object (e.g., device user, person other than device user, video displayed via television ), the name of the object, and/or other general information (eg, physical attributes, associated dates, associated business names, authors, etc.).

As described above, object detection system 212 may determine attributes corresponding to keywords that have been sponsored by a third party. For example, a third party (e.g., associated with a museum, venue, or other business) may sponsor or pay certain keywords (e.g., the name of a mural or other artwork, the name of a publication such as a magazine) to make it more relevant than other keywords Words rank higher. In response to determining that a given attribute corresponds to a sponsored keyword, object detection system 212 may provide a higher ranking for that attribute relative to other attributes.

Object detection system 212 sends the properties of the object to messaging client 104 for messaging client 104 . In doing so, object detection system 212 may further provide ranking information for attributes.

Based on the travel parameters and/or attributes determined at block 504, the messaging client 104 may determine to activate speech recognition (block 506). For example, a travel parameter may indicate that the user is traveling in a region (eg, another country) associated with a language unknown to the user. Additionally, attributes of objects depicted in the image (eg, from a rear camera) may indicate a source (eg, a person other than the user, or a television) that provides speech in such a language. The determination to activate speech recognition may also be based on environmental factors (eg, device geolocation, time of day, etc.). Based on these signals, messaging client 104 may determine to perform speech recognition (eg, translate speech into a language known to the user) relative to the speech input source. In one or more implementations, the user's known languages correspond to the primary languages stored in association with the user's profile (eg, within profile data 302).

In one or more implementations, the determination to perform voice recognition is based at least in part on travel parameters and voice commands received (eg, by a device microphone) in association with the user input at block 502 . Additionally, the determined attribute may indicate that the user issued a voice command (eg, by identifying the user via the front-facing camera). Messaging client 104 (eg, in conjunction with transcription and translation system 214 implementing speech recognition) may detect voice commands. For example, the user may have spoken the term/phrase "say" or "how do you say" while performing the above-mentioned press and hold gesture. Based on the travel parameters (eg, indicating language) and the voice command, the messaging client 104 may determine to perform speech recognition on the phrase following the voice command word (eg, the voice input after "say"). For example, messaging client 104 may determine to translate speech input from a language known to the user to an unknown language associated with the travel parameters. In this way, the user can learn how to speak the voice input while traveling.

Messaging client 104 sends a request to augmented system 208 for an augmented reality content item configured for speech recognition (operation 508). As noted above, enhancement system 208 may correspond to a subsystem of messaging system 100 and may be supported on the client side by messaging client 104 and/or on the server side by application server 114 . In one or more embodiments, provision of augmented reality content items may be implemented on the client side, server side, and/or a combination of client side and server side.

As described above with respect to block 502, user input to perform a scan operation may have been received within the carousel interface where an augmented reality content item has been selected. Alternatively, user input may be received when messaging client 104 is launched (eg, within a launch interface), in which case the augmented reality content item has not yet been selected.

In the event that an augmented reality content item has not been selected, the request at operation 508 may include one or more parameters to facilitate selection of an augmented reality content item (e.g., travel parameters, properties of an object, and/or parameters of a voice command). instruct). For example, the request may include the user's known languages, languages associated with travel, sources of voice input (eg, user, other individuals, television), and/or indications of voice commands (if applicable).

At block 510 , the augmented system 208 selects an augmented reality content item from a plurality of available augmented reality content items configured for speech recognition and based on parameters provided with the request from operation 508 . In one or more implementations, the augmentation system 208 is configured to search for available augmented reality content items by comparing the parameters with corresponding parameters (e.g., predefined terms) associated with each of the available augmented reality content items collection.

In one or more implementations, the augmented reality table 310 included in the database 124 is configured to designate or tag each augmented reality content item (e.g., via metadata) with corresponding attributes and/or predefined terms for searching Augmented reality content item. Thus, in one or more implementations, the enhancement system 208 queries the database with parameters from the request (e.g., known languages, languages associated with the trip, type of object corresponding to the source of the speech, type of command) 124, and the database 124 may provide the one or more selected augmented reality content items as a result of the query.

Where parameters correspond to respective attributes and/or predefined words of more than one augmented reality content item, database 124 may be configured to provide indications of the plurality of augmented reality content items as a result of the query. Additionally, database 124 may rank the plurality of augmented reality content items (eg, based on number of matches and/or weights assigned to parameters of the plurality of parameters, augmented reality content item attributes, and/or predefined words). Database 124 may provide an indication of the ranking to enhancement system 208 as part of the query results.

Where the voice input source corresponds to the user of the client device 102 and the voice command instructs to perform a translation from a known language to a language associated with the trip (e.g., via the voice command words "say" or "how do you say") , the selected augmented reality content item may correspond to displaying a visual transcription of the spoken input, a visual translation of the spoken input, and an audio translation of the spoken input. In examples where the voice input source corresponds to another person's live voice, the selected augmented reality content item may correspond to providing a visual translation of the live voice and/or an audio translation of the live voice. In an example where the voice input source corresponds to an audio output of a television displaying associated video, the selected augmented reality content item may correspond to providing a visual transcription of the audio output, a visual translation of the audio output, and an audio translation of the audio output. Accordingly, augmentation system 208 sends an indication of the selected augmented reality content item along with ranking information, if applicable, to messaging client 104 (operation 512).

In one or more implementations, where the AR content item has been selected (e.g., associated with a carousel interface as described above), at operation 508, the message client 104 may send the request without Include the above parameters. Furthermore, block 510 and operation 512 may simply correspond to augmentation system 208 maintaining the AR content items that have been selected.

At block 514, the messaging client 104 activates the selected augmented reality content item if it has not already been activated. Additionally, the messaging client 104 receives speech input (eg, via the device microphone) associated with the activated augmented reality content item (block 516). As noted above, speech input may be received from various sources, such as from a user, a person other than the user, and/or a television (eg, or other display device that outputs video/audio).

Messaging client 104 sends a request to transcription and translation system 214 for transcription and/or translation of the speech input in connection with the selected augmented reality content item (operation 518). As noted above, the transcription and translation system 214 may correspond to a subsystem of the messaging system 100 and may be supported on the client side by the messaging client 104 and/or on the server side by the application server 114 . In one or more implementations, the transcription and/or translation of speech via the transcription and translation system 214 may be accomplished client-side, server-side, and/or a combination of client-side and server-side.

Additionally, transcription and translation system 214 may correspond to a subsystem of enhancement system 208 . Thus, while the example of FIG. 5 depicts operations 518 through 522 as occurring between message client 104 and transcription and translation system 214, these operations may also be (at least in part) between message client 104 and enhancement system 208. implement. For example, enhancement system 208 may itself be configured to perform transcription and/or translation. Alternatively or in addition, transcription and translation system 214 may be a separate system from enhancement system 208 . For example, message client 104 and/or enhancement system 208 may communicate with transcription and translation system 214 to obtain transcriptions and/or translations.

As noted above, the transcription and translation system 214 is configured to perform different types of speech-based functions. Examples of speech-based functions include receiving speech input, generating machine-encoded text corresponding to the speech input (eg, transcription), and/or translating machine-encoded text from a first language to a second language (eg, translation). The transcription and translation system 214 is also configured to provide transcription and/or translation as text for display and/or speech for audio output.

Accordingly, the request at operation 518 may include speech input, an indication of whether to perform transcription and/or translation with respect to the speech input, an indication of the source/output language, and an output format for each of the transcription and/or translation (e.g., text and/or audio output). For example, the indication of whether to perform transcription and/or translation and its corresponding output format may correspond to the type of augmented reality content item selected as described above (eg, based on a voice input source, voice command, etc.).

The transcription and translation system 214 generates transcriptions and/or translations in corresponding output formats (block 520). Transcription and translation system 214 sends the generated transcriptions and/or translations to messaging client 104 .

In one or more implementations, the translation generated at block 520 and sent at operation 522 may correspond to a data structure having transcriptions and/or translations in text and/or audio format. The data structure may be used by the selected augmented reality content item to generate augmented reality content provided for output transcription and/or translation. In this way, an augmented reality content item may correspond to a template with placeholders for text and/or audio output. Alternatively or in addition, the transcription and/or translation generated at block 520 and sent at operation 522 may be generated by the augmented reality content item itself.

Following operation 522, the messaging client 104 presents the augmented reality content item including transcriptions and/or translations (eg, displayed in text and/or output as audio) along with captured images (block 524). As discussed below with respect to FIGS. , overlays, visual effects, etc.) to modify the captured image.

6A illustrates an example user interface 600a in which a source of speech input for augmented reality-based speech translation corresponds to a device user, according to some example implementations. User interface 600a includes captured image 602 and transcription 604 .

In one or more implementations, a user of client device 102 provides touch input within messaging client 104 to perform a scan operation to identify objects in captured image 602 (e.g., a live video feed from a front-facing camera ). For example, the touch input may correspond to a press and hold gesture received within the portion of the device screen displaying the captured image 602, or selection of a dedicated button such as a scan button (not shown).

In one or more implementations, during a scan operation, message client 104 is configured to display a scan graphic (not shown) to indicate that message client 104 is performing a scan operation. For example, the scan graphic corresponds to an animation displayed for the duration of the scan (eg, a predetermined duration of 2 seconds).

During a scanning operation, a user of client device 102 may provide voice input (eg, by vocalizing or speaking) to messaging client 104 . In the example of FIG. 6A, the user speaks the phrase "How much does it cost to say that?" (or "How much does it cost to say that in Greek?"). The term "speak" may correspond to a voice command word for performing translation from a user's known language (eg, primary language) to another language. Another language may be determined from travel parameters (eg, indicating that the user is traveling in Greece) and/or included in the voice input (eg, the "Greek" portion of the voice input).

The user in the example of FIG. 6A requests a translation of the phrase "How much does this cost?" from a language known to the user (eg, English) to Greek. In response to receiving user input, message client 104 (eg, in conjunction with transcription and translation system 214 ) may offer to transcribe the entire phrase and display the resulting transcription 604 (as shown in FIG. 6A ).

Additionally, based on voice command words (e.g., the term "say"), travel parameters (e.g., indicating travel to Greece), object attributes (e.g., indicating that it is the user providing the voice input), and/or environmental factors (e.g., device geography) positioning), the message client 104 determines to perform speech recognition on the speech input. As discussed below with respect to FIG. 6B, speech recognition may be performed in association with the selected augmented reality content item. Additionally, messaging client 104 (eg, in conjunction with transcription and translation system 214 ) provides translation and/or transcription of speech input (eg, the phrase following the voice command word "say").

6B illustrates an example user interface 600b for providing augmented reality-based speech translation for speech input provided by a device user, according to some example implementations. User interface 600b depicts captured image 602 of FIG. 6A. Additionally, user interface 600b depicts translation card 606 , carousel interface 608 , and selected AR icon 610 .

As noted above, the messaging client 104 may have determined to perform speech recognition on the speech input provided by the user. In response, messaging client 104 may select (eg, in conjunction with augmentation system 208 ) an augmented reality content item to perform such speech recognition.

In this regard, carousel interface 608 depicts selectable augmented reality content items that may be applied with respect to captured image 602 . Each available augmented reality content item is represented by an icon that is selectable by the user for switching to the corresponding augmented reality content item. In one or more implementations, the selected AR icon 610 corresponds to an augmented reality content item selected (eg, by the augmentation system 208) to perform speech recognition. As shown in FIG. 6B, the selected AR icon 610 is displayed differently relative to (eg, larger than) the remaining icons.

In one or more implementations, the selected augmented reality content item (eg, corresponding to the selected AR icon 610 ) provides a visual transcription of the speech input, a visual translation of the speech input, and an audio translation of the speech input.

These transcriptions and/or translations are depicted relative to translation cards 606, which are played by message client 104 (eg, in conjunction with transcription and translation system 214). In one or more implementations, translation card 606 is presented as an overlay relative to captured image 602 . The content of the translation card 606 may be based on the voice command word (e.g., the term "speak"), the voice input following the voice command ("How much does that cost?"), the user's known language (e.g., as associated with the profile data 302 locally stored), and/or output language (e.g., based on travel parameters and/or "in Greek" (if included as part of the speech input)). Additionally, translation card 606 may include interface elements for audio playback of translations.

In one or more implementations, in response to user selection of the selected AR icon 610, the messaging client 104 provides a means for generating an image including the screen content (e.g., in response to pressing/pressing the selected AR icon 610). tap gesture) and/or video (eg, in response to a press and hold gesture of a selected AR icon 610) media content item, eg, to send to a friend, include in a story, etc.

7A illustrates an example user interface 700a in which a source of speech input for augmented reality-based speech translation corresponds to an individual other than the device user, according to some example implementations. User interface 700a includes captured image 702 , carousel interface 706 , and selected AR icon 708 .

In one or more implementations, a user of client device 102 provides touch input 704 within messaging client 104 to perform a scan operation to identify objects in captured image 702 (e.g., live video from a rear-facing camera feed). For example, touch input 704 may correspond to a press and hold gesture received within a portion of the device screen displaying captured image 702 .

In one or more implementations, during a scan operation, message client 104 is configured to display a scan graphic (not shown) to indicate that message client 104 is performing a scan operation. For example, the scan graphic corresponds to an animation displayed for the duration of the scan (eg, a predetermined duration of 2 seconds).

During scanning operations, messaging client 104 (eg, in conjunction with object detection system 212 ) may detect individuals in captured image 702 that are different from the device user. Individuals can provide live speech that is captured as speech input by the device microphone. In addition, messaging client 104 may determine a travel parameter (eg, the region in which the user is traveling) indicative of the language of the live voice.

Based on the voice input, object attributes, travel parameters, and/or environmental factors (eg, device geolocation), the messaging client 104 determines to perform voice recognition on the voice input. As discussed below with respect to FIG. 7B, speech recognition may be performed in association with the selected augmented reality content item. Additionally, messaging client 104 (eg, in conjunction with transcription and translation system 214 ) provides translation and/or transcription of speech input.

Similar to carousel interface 608 of FIG. 6A , carousel interface 706 of FIG. 7B allows a user to cycle through and/or select different augmented reality content items to apply/display relative to captured image 702 . Additionally, an icon corresponding to an active augmented reality content item (e.g., selected AR icon 708) is user-selectable to generate images (e.g., in response to a press/tap gesture) and/or video (e.g., A media content item that responds to a press and hold gesture).

7B illustrates an example user interface 700b for providing augmented reality-based speech translation for speech input provided by an individual other than the device user, according to some example implementations. User interface 700b depicts captured image 702 and touch input 704 of FIG. 7A . Although not shown in FIG. 7B , user interface 700b may continue to depict carousel interface 706 and/or selected AR icon 708 of FIG. 7A . Additionally, user interface 700b depicts transcription 712 and translation 714 .

As noted above, messaging client 104 may have determined to perform speech recognition with respect to speech input provided by the individual depicted in captured image 702 . In response, messaging client 104 may select (eg, in conjunction with augmentation system 208 ) an augmented reality content item to perform such speech recognition. In one or more implementations, the selected augmented reality content item (e.g., corresponding to the selected AR icon 708) provides a visual transcription of the live speech, a visual translation of the live speech, and/or an audio translation of the live speech .

Accordingly, messaging client 104 (eg, in conjunction with transcription and translation system 214 ) displays transcription 712 and translation 714 in association with the selected augmented reality content item. Transcription 712 and translation 714 may be presented as an overlay relative to captured image 702 . Transcription 712 may be based on speech input (eg, provided by the individual) and/or input language (eg, based on travel parameters and/or known processing techniques for recognizing language from speech). In addition, translation 714 may be based on translating the speech input into the user's known language (eg, as stored in association with profile data 302 ).

8A illustrates an example user interface 800a for providing augmented reality-based speech translation for speech input provided by a television, according to some example implementations. User interface 800a includes captured image 802 , translation tool 804 and translation 806 .

In one or more implementations, a user of client device 102 provides touch input within messaging client 104 to perform a scan operation to identify objects in captured image 802 (e.g., a live video feed from a rear facing camera ). For example, touch input 704 may correspond to a press and hold gesture received within a portion of the device screen displaying captured image 802 .

In one or more implementations, during a scan operation, message client 104 is configured to display a scan graphic (not shown) to indicate that message client 104 is performing a scan operation. For example, the scan graphic corresponds to an animation displayed for the duration of the scan (eg, a predetermined duration of 2 seconds).

During scanning operations, message client 104 (eg, in conjunction with object detection system 212 ) may detect object attributes indicative of video and audio output from a television or other display device. Audio output from the television may correspond to speech input received by messaging client 104 . Additionally, the messaging client 104 can determine travel parameters (eg, the region the user is traveling in) that indicate the language of the audio output.

Based on the voice input, object attributes, travel parameters, and/or environmental factors (eg, device geolocation), the messaging client 104 determines to perform voice recognition on the voice input. Based on this determination, messaging client 104 may select (eg, in conjunction with augmentation system 208 ) an augmented reality content item to perform such speech recognition. In one or more implementations, the selected augmented reality content item provides at least one of a visual transcription of the audio output, a visual translation of the audio output, or an audio translation of the audio output.

In this regard, user interface 800a includes a translation tool 804 for activating/deactivating text transcription (e.g., corresponding to a television's audio output in the language associated with the trip) and/or text translation (e.g., corresponding to user known languages) display. The translation tool 804 may also provide an audio output for activating/deactivating translations. In the example of FIG. 8A , user interface 800a provides a display of translation 806 and may provide a corresponding audio output of the translation.

8B illustrates another example user interface 800b for providing augmented reality-based voice translations for voice input provided by a television, according to some example implementations. User interface 800b depicts captured image 802, translation tool 804, and translation 806 of FIG. 8A. In the example of FIG. 8B , user interface 800b also provides a display of a transcription 808 corresponding to the television's audio output (eg, based on a user selection with respect to translation tool 804 ).

9 is a flowchart illustrating a process 900 for providing augmented reality content corresponding to speech translation in association with travel, according to some example embodiments. For purposes of illustration, process 900 is described herein primarily with reference to message client 104 of FIG. 1 and enhancement system 208 and transcription and translation system 214 of FIG. 2 . However, one or more blocks (or operations) of process 900 may be performed by one or more other components and/or by other suitable devices. Further for purposes of explanation, the blocks (or operations) of process 900 are described herein as occurring serially or linearly. However, multiple blocks (or operations) of process 900 may occur in parallel or simultaneously. Additionally, the blocks (or operations) of process 900 need not be performed in the order shown, and/or one or more blocks (or operations) of process 900 need not be performed and/or may be replaced by other operations. Process 900 may terminate when its operations are complete. Additionally, process 900 may correspond to a method, procedure, algorithm, or the like.

The messaging client 104 receives a request to perform a scan operation in association with an image captured by a device camera (block 902). The images may correspond to a live feed of a camera of the device.

The messaging client 104 determines travel parameters associated with the request and attributes of the objects depicted in the image (block 904). The travel parameters may indicate at least one of travel schedules, transportation schedules, languages, general locations, specific locations or landmarks, events, attendee lists, or topics of interest associated with the user's travel.

The messaging client 104 selects an augmented reality content item from a plurality of augmented reality content items based on at least one of the travel parameters or attributes, the augmented reality content item being configured to present the augmented reality content based on the voice input associated with the request (block 906 ). Selecting an augmented reality content item may also be based on the geolocation of the device.

The messaging client 104 receives voice input (block 908). The messaging client 104 obtains at least one of a transcription or a translation of the speech input (block 910). The messaging client 104 presents an augmented reality content item in association with the image, the augmented reality content item including at least one of a transcription or a translation (block 912).

For example, an attribute may indicate that the object corresponds to an individual in the image other than the user, the individual providing speech input corresponding to the live speech. In such cases, the augmented reality content item may be selected to provide at least one of a visual translation of the live speech or an audio translation of the live speech.

In another example, the attribute may indicate that the object corresponds to video displayed on the second device, the video being displayed with audio output corresponding to the speech input. In this case, the augmented reality content item may be selected to provide at least one of a visual transcription of the audio output, a visual translation of the audio output, or an audio translation of the audio output.

In another example, the messaging client 104 may detect a voice command for translating the voice input provided by the user in association with the request, and the attribute may indicate that the object corresponds to the user. In this case, the augmented reality content item may be selected to provide a visual transcription of the spoken input, a visual translation of the spoken input, and an audio translation of the spoken input.

10 is a schematic diagram illustrating an access restriction process 1000 according to which access to content (e.g., multimedia payloads of ephemeral messages 1010 and associated data) or collections of content (e.g., groups of ephemeral messages 1006) may be is time-limited (eg, made ephemeral).

The ephemeral message 1010 is shown associated with a message duration parameter 1014 whose value determines the amount of time that the messaging client 104 will display the ephemeral message 1010 to a recipient user of the ephemeral message 1010 . In one example, depending on the amount of time the sending user specifies using the message duration parameter 1014, the receiving user may view the ephemeral message 1010 for up to 10 seconds.

Message duration parameter 1014 and message recipient identifier 424 are shown as inputs to message timer 1012, which is responsible for determining the amount of time to show ephemeral message 1010 to the particular receiving user identified by message recipient identifier 424 . In particular, the ephemeral message 1010 is only shown to the relevant receiving user for a period of time determined by the value of the message duration parameter 1014 . Message timer 1012 is shown as providing output to a more general ephemeral timer system 202 that is responsible for the overall timing of displaying content (eg, ephemeral message 1010 ) to a receiving user.

The ephemeral message 1010 shown in FIG. 10 is included within an ephemeral message group 1006 (eg, a collection of messages in a personal story or an event story). Group of ephemeral messages 1006 has an associated group duration parameter 1004 whose value determines the duration for which group of ephemeral messages 1006 is presented and accessible to a user of messaging system 100 . For example, group duration parameter 1004 may be the duration of a concert, where ephemeral message group 1006 is a collection of content related to the concert. Alternatively, a user (either the owning user or the curator user) may specify a value for the group duration parameter 1004 when performing setup and creation of the ephemeral message group 1006 .

Additionally, each ephemeral message 1010 within ephemeral message group 1006 has an associated group participation parameter 1002 whose value determines the duration for which ephemeral message 1010 will be accessible within the context of ephemeral message group 1006 . Thus, a particular short message group 1006 may "expire" and become inaccessible within the context of the short message group 1006 before the short message group 1006 itself expires according to the group duration parameter 1004 . Group duration parameter 1004, group participation parameter 1002, and message recipient identifier 424 each provide input to group timer 1008, which is operable to first determine whether a particular ephemeral message 1010 of ephemeral message group 1006 is to be displayed to a particular ephemeral message 1010. Receive the user, and if so, determine how long to display. Note that ephemeral message group 1006 also knows the identity of a particular recipient user due to message recipient identifier 424 .

Accordingly, the group timer 1008 is operable to control the total lifetime of the associated ephemeral message group 1006 and the individual ephemeral messages 1010 included in the ephemeral message group 1006 . In one example, each ephemeral message 1010 within ephemeral message group 1006 remains viewable and accessible for a period of time specified by group duration parameter 1004 . In another example, within the context of an ephemeral message group 1006 , a certain ephemeral message 1010 may expire based on the group participation parameter 1002 . Note that even within the context of fleeting message group 1006, message duration parameter 1014 may still determine the duration for which a particular fleeting message 1010 is displayed to the receiving user. Accordingly, the message duration parameter 1014 determines the duration for which a particular short message 1010 is displayed to the receiving user, regardless of whether the receiving user views the short message 1010 within or outside the context of the short message group 1006 .

The ephemeral timer system 202 can also be operable to remove the particular ephemeral message 1010 from the ephemeral message group 1006 based on determining that the ephemeral message 1010 has exceeded the associated group participation parameter 1002 . For example, when the sending user has established a group participation parameter 1002 of 24 hours from posting, the ephemeral timer system 202 will remove the associated ephemeral message 1010 from the ephemeral message group 1006 after the specified twenty-four hours. The ephemeral timer system 202 also operates to when the group participation parameter 1002 for each ephemeral message 1010 within the ephemeral message group 1006 has expired, or when the ephemeral message group 1006 itself has expired according to the group duration parameter 1004, The ephemeral message group 1006 is removed.

In some use cases, the creator of a particular ephemeral message group 1006 may specify an indefinite group duration parameter 1004 . In this case, the expiration of the group participation parameter 1002 for the last remaining ephemeral message 1010 within the ephemeral message group 1006 will determine when the ephemeral message group 1006 itself expires. In this case, a new ephemeral message 1010 added to ephemeral message group 1006 with new group participation parameter 1002 effectively extends the lifetime of ephemeral message group 1006 to equal the value of group participation parameter 1002 .

In response to ephemeral timer system 202 determining that ephemeral message group 1006 has expired (e.g., is no longer accessible), ephemeral timer system 202 communicates with messaging system 100 (and, e.g., in particular message client 104) such that the ephemeral message group 1006 communicates with The indicia (eg, icon) associated with the group of related ephemeral messages 1006 is no longer displayed within the user interface of the message client 104 . Similarly, when ephemeral timer system 202 determines that message duration parameter 1014 for a particular ephemeral message 1010 has expired, ephemeral timer system 202 causes message client 104 to no longer display the indicia associated with ephemeral message 1010 (e.g., icon or text logo).

FIG. 11 is a diagrammatic representation of a machine 1100 within which instructions 1106 (e.g., software, programs, applications, applets, etc.) for causing the machine 1100 to perform any one or more of the methodologies discussed herein can be executed. , app, or other executable code). For example, instructions 1106 may cause machine 1100 to perform any one or more of the methods described herein. Instructions 1106 transform a general-purpose unprogrammed machine 1100 into a specific machine 1100 programmed to perform the functions described and illustrated in the manner described. Machine 1100 may operate as a standalone device or may be coupled (eg, networked) to other machines. In a network deployment, machine 1100 may operate as a server machine or a client machine in a server-client network environment, or as a peer machine in a peer-to-peer (or distributed) network environment. Machine 1100 may include, but is not limited to, server computers, client computers, personal computers (PCs), tablet computers, laptop computers, netbooks, set top boxes (STBs), personal digital assistants (PDAs), entertainment media systems, cellular phones, Smartphones, mobile devices, wearable devices (e.g., smart watches), smart home devices (e.g., smart appliances), other smart devices, web appliances, network routers, network switches, network bridges, or capable of sequentially or otherwise Any machine that executes instructions 1106 specifying actions to be taken by the machine 1100 . Further, while a single machine 1100 is shown, the term "machine" shall also be taken to include a collection of machines that individually or jointly execute instructions 1100 to perform any one or more methodologies discussed herein. For example, machine 1100 may include client device 102 or any of a number of server devices forming part of message server system 108 . In some examples, machine 1100 can also include both a client system and a server system, where some operations of a particular method or algorithm are performed on the server side and some operations of a particular method or algorithm are performed on the client side.

Machine 1100 may include a processor 1102 , a memory 1110 , and an input/output (I/O) component 1122 that may be configured to communicate with one another via a bus 1120 . In an example, processor 1102 (e.g., central processing unit (CPU), reduced instruction set computing (RISC) processor, complex instruction set computing (CISC) processor, graphics processing unit (GPU), digital signal processor (DSP ), an application specific integrated circuit (ASIC), a radio frequency integrated circuit (RFIC), another processor, or any suitable combination thereof) may include, for example, processor 1104 and processor 1108 that execute instructions 1106 . The term "processor" is intended to include a multi-core processor, which may include two or more separate processors (sometimes referred to as "cores") that can execute instructions concurrently. Although FIG. 11 shows multiple processors 1102, machine 1100 may include a single processor with a single core, a single processor with multiple cores (e.g., a multi-core processor), multiple processors with a single core, Multiple processors with multiple cores or any combination thereof.

Memory 1110 includes main memory 1112 , static memory 1114 , and storage unit 1116 , both of which are accessible by processor 1102 via bus 1120 . Main memory 1110, static memory 1114, and storage unit 1116 store instructions 1106 that implement any one or more of the methods or functions described herein. Instructions 1106 may also reside wholly or partially within main memory 1112, within static memory 1114, within machine-readable medium 1118 within storage unit 1116, within at least one of processor 1102 during execution by machine 1100 Within a processor (eg, within a processor's cache memory), or any suitable combination thereof.

I/O components 1122 can include a wide variety of components that receive input, provide output, generate output, send information, exchange information, capture measurements, and the like. The specific I/O components 1122 included in a particular machine will depend on the type of machine. For example, a portable machine such as a mobile phone may include a touch input device or other such input mechanism, whereas a headless server machine would be less likely to include such a touch input device. It should be understood that I/O components 1122 may include many other components not shown in FIG. 11 . In various examples, I/O components 1122 can include user output components 1124 and user input components 1126 . User output components 1124 may include visual components (e.g., a display such as a plasma display panel (PDP), light emitting diode (LED) display, liquid crystal display (LCD), projector, or cathode ray tube (CRT)), acoustic components (e.g., speakers), haptic components (eg, vibration motors, resistance mechanisms), other signal generators, etc. User input components 1126 may include alphanumeric input components (e.g., a keyboard, a touch screen configured to receive alphanumeric input, an optical keyboard, or other alphanumeric input components), point-based input components (e.g., a mouse, touch pad, trackball, etc.) , joystick, motion sensor, or other pointing instrument), tactile input components (e.g., physical buttons, touch screens that provide the position and force of touch or touch gestures, or other tactile input components), audio input components (e.g., microphones), etc.

In other examples, I/O components 1122 can include biometric components 1128, motion components 1130, environmental components 1132, or location components 1134, among various other components. For example, the biometric component 1128 includes functions for detecting expressions (e.g., hand expressions, facial expressions, voice expressions, body gestures, or eye tracking), measuring biosignals (e.g., blood pressure, heart rate, body temperature, sweating, or brain waves), identifying Components for people (for example, voice recognition, retinal recognition, facial recognition, fingerprint recognition, or EEG-based recognition), etc. The moving part 1130 includes an acceleration sensor part (for example, an accelerometer), a gravity sensor part, and a rotation sensor part (for example, a gyroscope).

Environmental components 1132 include, for example: one or more cameras (with still image/photo and video capabilities), lighting sensor components (e.g., photometers), temperature sensor components (e.g., one or more thermometers to detect ambient temperature ), humidity sensor components, pressure sensor components (e.g., barometer), acoustic sensor components (e.g., one or more microphones to detect background noise), proximity sensor components (e.g., infrared sensors to detect nearby objects), gas sensors (for example, gas detection sensors that detect concentrations of hazardous gases for safety or measure pollutants in the atmosphere), or other components that may provide indications, measurements, or signals corresponding to the surrounding physical environment.

Regarding cameras, the client device 102 may have a camera system including, for example, a front camera on the front surface of the client device 102 and a rear camera on the rear surface of the client device 102 . The front-facing camera may, for example, be used to capture still images and video (eg, "selfies") of the user of client device 102, which may then be enhanced with the aforementioned enhancement data (eg, filters). For example, the rear camera can be used to capture still images and video in a more traditional camera mode, which are similarly enhanced with augmentation data. In addition to front and rear facing cameras, client device 102 may also include a 360° camera for capturing 360° photos and videos.

Furthermore, the camera system of the client device 102 may include dual rear cameras (e.g., a main camera and a depth-sensing camera), or even triple, quadruple, or quintuple cameras on the front and rear sides of the client device 102. Rear camera setup. For example, these multi-camera systems may include wide-angle cameras, ultra-wide-angle cameras, telephoto cameras, macro cameras, and depth sensors.

Location components 1134 include positioning sensor components (eg, GPS receiver components), altitude sensor components (eg, an altimeter or barometer that detects air pressure at which altitude can be obtained), orientation sensor components (eg, magnetometers), and the like.

部件(例如，/>

低功耗)、/>

部件以及经由其他模态提供通信的其他通信部件。设备1138可以是另一机器或各种外围设备中的任何外围设备(例如，经由USB耦接的外围设备)。Communications may be accomplished using a variety of techniques. The I/O component 1122 also includes a communication component 1136 operable to couple the machine 1100 to a network 1140 or a device 1138 via a corresponding coupling or connection. For example, communication component 1136 may include a network interface component or another suitable device to interface with network 1140 . In further examples, the communication component 1136 can include a wired communication component, a wireless communication component, a cellular communication component, a near field communication (NFC) component,

widget (eg, />

low power consumption), />

components and other communication components that provide communication via other modalities. Device 1138 may be another machine or any of a variety of peripherals (eg, a peripheral coupled via USB).

信号三角测量得出的定位、经由检测可以指示特定定位的NFC信标信号得出的定位等。Additionally, communication component 1136 can detect an identifier or include a component operable to detect an identifier. For example, communication components 1136 may include radio frequency identification (RFID) tag reader components, NFC smart tag detection components, optical reader components (e.g., for detecting one-dimensional barcodes such as Universal Product Code (UPC) barcodes, such as fast Reactive (QR) Code, Aztec Code, Data Matrix, Data Symbol (Dataglyph), MaxiCode (MaxiCode), PDF417, UltraCode (UltraCode), UCC RSS-2D barcode for multidimensional barcodes and other optical sensors for optical codes) or acoustic A detection component (eg, a microphone for identifying the audio signal of the marker). Additionally, various information can be derived via the communication component 1136, such as location via Internet Protocol (IP) geolocation, via

Positions derived from signal triangulation, positions derived via detection of NFC beacon signals that can indicate a specific position, etc.

Various memories (e.g., main memory 1112, static memory 1114, and memory of processor 1102) and storage unit 1116 may store a set or more Sets of instructions and data structures (eg, software). These instructions (eg, instructions 1106 ), when executed by processor 1102 , cause various operations to implement the disclosed examples.

Communication over a network may be via a network interface device (e.g., a network interface component included in communication component 1136), using a transmission medium and using any of several well-known transmission protocols (e.g., Hypertext Transfer Protocol (HTTP)). 1140 to send or receive instructions 1106. Similarly, instructions 1106 may be sent or received via a coupling (eg, a peer-to-peer coupling) with device 1138 using a transmission medium.

FIG. 12 is a block diagram 1200 illustrating a software architecture 1202 that may be installed on any one or more of the devices described herein. Software architecture 1202 is supported by hardware such as machine 1208 including processor 1248 , memory 1250 and I/O components 1252 . In this example, the software architecture 1202 can be conceptualized as a stack of layers, where each layer provides a specific functionality. Software architecture 1202 includes layers such as operating system 1216 , libraries 1214 , framework 1212 , and applications 1210 . Operationally, the application 1210 activates the API call 1204 and receives the message 1206 in response to the API call 1204 through the software stack.

或

低能量驱动器、闪存驱动器、串行通信驱动器(例如，USB驱动器)、

驱动器、音频驱动器、电力管理驱动器等。The operating system 1216 manages hardware resources and provides common services. Operating system 1216 includes, for example, core 1242 , services 1244 and drivers 1246 . Core 1242 acts as an abstraction layer between the hardware layer and other software layers. For example, core 1242 provides memory management, processor management (eg, scheduling), component management, networking and security settings, among other functions. Services 1244 may provide other common services for other software layers. The driver 1246 is responsible for controlling the underlying hardware or interfacing with the underlying hardware. For example, the driver 1246 may include a display driver, a camera driver,

or

low-energy drives, flash drives, serial communication drives (for example, USB drives),

drivers, audio drivers, power management drivers, etc.

Libraries 1214 provide common low-level infrastructure used by applications 1210 . Libraries 1214 may include system libraries 1236 (eg, the C standard library) that provide functionality such as memory allocation functions, string manipulation functions, math functions, and the like. Additionally, libraries 1214 may include API libraries 1238, such as media libraries (e.g., libraries to support rendering and manipulation of various media formats, such as Moving Picture Experts Group-4 (MPEG4), Advanced Video Coding (H.264 or AVC), Moving Picture Experts Group Layer-3 (MP3), Advanced Audio Coding (AAC), Adaptive Multi-Rate (AMR) audio codec, Joint Photographic Experts Group (JPEG or JPG), or portable network graphics (PNG)), graphics libraries (e.g., the OpenGL framework for rendering in two-dimensional (2D) and three-dimensional (3D) in graphical content on a display), database libraries (e.g., SQLite), web libraries (for example, WebKit that provides web browsing functionality), etc. Library 1214 may also include a variety of other libraries 1240 to provide applications 1210 with many other APIs.

Framework 1212 provides a common high-level infrastructure used by applications 1210 . For example, framework 1212 provides various graphical user interface (GUI) functions, advanced resource management, and advanced location services. Framework 1212 may provide a wide range of other APIs that may be used by applications 1210, some of which may be specific to a particular operating system or platform.

Phone的移动操作系统或其他移动操作系统上运行的移动软件。在该示例中，第三方应用1222可以激活由操作系统1216提供的API调用1204以有助于本文中描述的功能。In an example, applications 1210 may include home application 1218, contacts application 1224, browser application 1228, book reader application 1232, location application 1220, media application 1226, messaging application 1230, gaming application 1234, and third-party applications such as 1222 A wide variety of other applications. The application 1210 is a program that executes functions defined in the program. One or more of the variously structured applications 1210 may be created using various programming languages, such as object-oriented programming languages (e.g., Objective-C, Java, or C++) or procedural programming languages ( For example, C or assembly language). In particular examples, third-party applications 1222 (eg, applications developed by entities other than the vendor of the particular platform using the ANDROID ^™ or IOS ^™ software development kit (SDK)) may be on platforms such as IOS ^™ , ANDROID ^™ ,

Mobile software running on the Phone's mobile operating system or other mobile operating systems. In this example, third party application 1222 can activate API calls 1204 provided by operating system 1216 to facilitate the functionality described herein.

"Carrier signal" means any intangible medium capable of storing, encoding, or carrying instructions for execution by a machine and includes digital or analog communication signals or other intangible medium to facilitate the communication of such instructions. Instructions may be sent or received over a network using a transmission medium via a network interface device.

"Client Device" means any machine that interfaces with a communications network to obtain resources from one or more server systems or other client devices. Client devices can be, but are not limited to, mobile phones, desktop computers, laptop computers, portable digital assistants (PDAs), smart phones, tablet computers, ultrabooks, netbooks, laptop computers, multiprocessor systems, based Microprocessors or programmable consumer electronics, game consoles, set-top boxes, or any other communication device that a user can use to access a network.

网络、其他类型的网络或者两个或更多个这样的网络的组合。例如，网络或网络的一部分可以包括无线网络或蜂窝网络，并且耦接可以是码分多址(CDMA)连接、全局移动通信系统(GSM)连接或其他类型的蜂窝或无线耦接。在该示例中，耦接可以实现各种类型的数据传输技术中的任何数据传输技术，例如单载波无线电传输技术(1xRTT)、演进数据优化(EVDO)技术、通用分组无线电服务(GPRS)技术、增强数据速率的GSM演进(EDGE)技术、包括3G的第三代合作伙伴计划(3GPP)、第四代无线(4G)网络、通用移动电信系统(UMTS)、高速分组接入(HSPA)、全球微波接入互操作性(WiMAX)、长期演进(LTE)标准、由各种标准设置组织定义的其他数据传输技术、其他长距离协议或其他数据传输技术。"Communications network" means one or more parts of a network, which may be an ad hoc network, intranet, extranet, virtual private network (VPN), local area network (LAN), wireless LAN (WLAN), wide area network (WAN ), Wireless WAN (WWAN), Metropolitan Area Network (MAN), Internet, Part of Internet, Part of Public Switched Telephone Network (PSTN), Plain Old Telephone Service (POTS) Network, Cellular Telephone Network, Wireless Network,

network, other types of networks, or a combination of two or more such networks. For example, a network or portion of a network may comprise a wireless network or a cellular network, and the coupling may be a Code Division Multiple Access (CDMA) connection, a Global System for Mobile Communications (GSM) connection, or other type of cellular or wireless coupling. In this example, the coupling can implement any of various types of data transmission technologies, such as Single Carrier Radio Transmission Technology (1xRTT), Evolution Data Optimized (EVDO) technology, General Packet Radio Service (GPRS) technology, Enhanced Data Rates for GSM Evolution (EDGE), Third Generation Partnership Project (3GPP) including 3G, Fourth Generation Wireless (4G) networks, Universal Mobile Telecommunications System (UMTS), High Speed Packet Access (HSPA), Global Interoperability for Microwave Access (WiMAX), Long Term Evolution (LTE) standards, other data transmission technologies defined by various standards setting organizations, other long range protocols or other data transmission technologies.

"Component" means a device, physical entity, or logic having boundaries defined by function or subroutine calls, branch points, APIs, or other techniques that provide partitioning or modularization of specific processing or control functions. Components may be combined with other components via their interfaces to perform machine processes. A component may be a part of a program designed to be used with other components encapsulating a functional hardware unit and generally performing a specific function of the associated function. The components may constitute software components (eg, code embodied on a machine-readable medium) or hardware components. A "hardware component" is a tangible unit capable of performing certain operations, and may be configured or arranged in some physical manner. In various example embodiments, one or more computer systems (e.g., stand-alone computer systems, client computer systems, or server computer systems) or one or more A number of hardware components (eg, a processor or group of processors) are configured as hardware components operative to perform certain operations described herein. Hardware components may also be implemented mechanically, electronically, or any suitable combination thereof. For example, a hardware component may include dedicated circuitry or logic that is permanently configured to perform certain operations. A hardware component may be a special purpose processor such as a Field Programmable Gate Array (FPGA) or an Application Specific Integrated Circuit (ASIC). Hardware components may also include programmable logic or circuitry that is temporarily configured by software to perform certain operations. For example, hardware components may include software executed by a general-purpose processor or other programmable processor. Once configured by such software, a hardware component becomes a specific machine (or specific part of a machine) that is uniquely tailored to perform the configured function and is no longer a general-purpose processor . It will be appreciated that cost and time considerations may dictate implementing hardware components mechanically, in dedicated and permanently configured circuitry, or in temporarily configured (eg, by software) circuitry. Accordingly, the phrase "hardware component" (or "hardware-implemented component") should be understood to cover a tangible entity that is physically constructed, permanently configured (e.g., hardwired), or temporarily configured (e.g., programmed) to An entity that operates in a manner or that performs some of the operations described herein. Contemplating embodiments in which hardware components are temporarily configured (eg, programmed), each of the hardware components need not be configured or instantiated at any one time. For example, where the hardware components include a general-purpose processor configured by software to be a special-purpose processor, the general-purpose processor may be configured as respectively different special-purpose processors (for example, including different hardware components) at different times. The software configures a specific processor or processors accordingly, eg to constitute a specific hardware component at one time and to constitute a different hardware component at a different time. Hardware components can provide information to, and receive information from, other hardware components. Accordingly, the described hardware components may be considered to be communicatively coupled. Where multiple hardware components are present at the same time, communications may be achieved by the transmission of signals between or among two or more hardware components (eg, through appropriate circuits and buses). In implementations where multiple hardware components are configured or instantiated at different times, such can be achieved, for example, by storing information in a memory structure accessible by multiple hardware components and retrieving information from the memory structure Communication between hardware components. For example, a hardware component may perform an operation and store the output of the operation in a communicatively coupled memory device. Additional hardware components can then access the memory device at a later time to retrieve and process the stored output. A hardware component can also initiate communications with input or output devices, and can operate on resources (eg, collections of information). The various operations of the example methods described herein may be performed, at least in part, by one or more processors that are temporarily configured (eg, by software) or permanently configured to perform the relevant operations. Whether temporarily configured or permanently configured, such processors may constitute processor-implemented components operative to perform one or more operations or functions described herein. As used herein, a "processor-implemented component" refers to a hardware component implemented using one or more processors. Similarly, the methods described herein may be implemented at least in part by processors, in particular the processor(s) being an example of hardware. For example, at least some operations of a method may be performed by one or more processors or processor-implemented components. Furthermore, the one or more processors may also be operable to support the execution of related operations in a "cloud computing" environment or as "software as a service" (SaaS). For example, at least some of the operations may be performed by a group of computers (as an example of a machine including a processor), where these operations can be performed via a network (e.g., the Internet) and via one or more suitable interfaces (e.g., an API). ) to access. The execution of certain operations can be distributed among processors, not only residing in a single machine, but can be deployed on multiple machines. In some example embodiments, a processor or processor-implemented component may be located in a single geographic location (eg, within a home environment, office environment, or server farm). In other example embodiments, processors or processor-implemented components may be distributed across multiple geographic locations.

"Computer-readable storage medium" refers to both machine storage media and transmission media. Accordingly, these terms include both storage devices/media and carrier/modulated data signals. The terms "machine-readable medium", "computer-readable medium" and "device-readable medium" mean the same thing and may be used interchangeably in this disclosure.

"Ephemeral Messages" means messages that are accessible for a limited duration in time. Ephemeral messages can be text, images, videos, etc. The access time for ephemeral messages can be set by the sender of the message. Alternatively, the access time may be a default setting or a setting specified by the recipient. Regardless of the setup technique, messages are transient.

"Machine storage medium" means a single or multiple storage devices and media (eg, centralized or distributed databases, and associated caches and servers) that store executable instructions, routines, and data. Accordingly, the term should be read to include, but not be limited to, solid-state memory, as well as optical and magnetic media, including memory internal or external to the processor. Specific examples of machine storage media, computer storage media, and device storage media include: non-volatile memory, including, for example, semiconductor memory devices such as Erasable Programmable Read-Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), FPGA, and flash memory devices; magnetic disks, such as internal hard disks and removable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks. The terms "machine storage medium", "device storage medium", "computer storage medium" mean the same thing and may be used interchangeably in this disclosure. The terms "machine storage medium", "computer storage medium" and "device storage medium" expressly exclude carrier waves, modulated data signals and other such media at least some of which are covered by the term "signal medium".

A "non-transitory computer-readable storage medium" refers to a tangible medium capable of storing, encoding, or carrying instructions for execution by a machine.

"Signal medium" means any intangible medium capable of storing, encoding, or carrying instructions for execution by a machine, and includes digital or analog communication signals or other intangible medium to facilitate the communication of software or data. The term "signal medium" should be taken to include any form of modulated data signal, carrier wave, etc. The term "modulated data signal" means a signal that has one or more of its characteristics set or changed in such a manner as to encode information in the signal. The terms "transmission medium" and "signal medium" mean the same thing and may be used interchangeably in this disclosure.

Claims (20)

1. A method, comprising:

receiving, by a messaging application running on a device of a user, a request to perform a scanning operation in association with an image captured by a device camera;

in response to receiving the request, determining a travel parameter associated with the request and a property of an object depicted in the image;

selecting an augmented reality content item from a plurality of augmented reality content items based on at least one of the travel parameter or the attribute, the augmented reality content item configured to present augmented reality content based on a voice input associated with the request;

receiving the voice input;

obtaining at least one of a transcription or a translation of the speech input; and

presenting the augmented reality content item in association with the image, the augmented reality content item including the at least one of the transcription or the translation.

2. The method of claim 1, wherein the travel parameter indicates at least one of a travel schedule, a transportation schedule, a language, a general location, a specific location or landmark, an activity, a participant list, or a topic of interest associated with the user's travel.

3. The method of claim 1, wherein the attribute indicates that the object corresponds to an individual in the image other than the user, the individual providing the speech input corresponding to live speech.

4. The method of claim 3, wherein the augmented reality content item is selected to provide at least one of a visual translation of the live speech or an audio translation of the live speech.

5. The method of claim 1, wherein the attribute indicates that the object corresponds to a video displayed on a second device, the video displayed with an audio output corresponding to the speech input.

6. The method of claim 5, wherein the augmented reality content item is selected to provide at least one of a visual transcription of the audio output, a visual translation of the audio output, or an audio translation of the audio output.

7. The method of claim 1, further comprising:

detecting a voice command for interpreting the speech input, the voice command and the speech input being provided by the user in association with the request,

wherein the attribute indicates that the object corresponds to the user.

8. The method of claim 7, wherein the augmented reality content item is selected to provide a visual transcription of the speech input, a visual translation of the speech input, and an audio translation of the speech input.

9. The method of claim 1, wherein selecting the augmented reality content item is further based on a geographic location of the device.

10. The method of claim 1, wherein the image corresponds to a live feed of a camera of the apparatus.

11. An apparatus, comprising:

a processor; and

a memory storing instructions that, when executed by the processor, configure the processor to:

receiving, by a messaging application running on a device of a user, a request to perform a scan operation in association with an image captured by a device camera;

in response to receiving the request, determining a travel parameter associated with the request and a property of an object depicted in the image;

selecting an augmented reality content item from a plurality of augmented reality content items based on at least one of the travel parameter or the attribute, the augmented reality content item configured to present augmented reality content based on a speech input associated with the request;

receiving the voice input;

obtaining at least one of a transcription or a translation of the speech input; and

presenting the augmented reality content item in association with the image, the augmented reality content item including the at least one of the transcription or the translation.

12. The apparatus of claim 11, wherein the travel parameter indicates at least one of a travel schedule, a transportation schedule, a language, a general location, a specific location or landmark, an activity, a participant list, or a topic of interest associated with the user's travel.

13. The apparatus of claim 11, wherein the attribute indicates that the object corresponds to an individual in the image other than the user, the individual providing the speech input corresponding to live speech.

14. The apparatus of claim 13, wherein the augmented reality content item is selected to provide at least one of a visual translation of the live speech or an audio translation of the live speech.

15. The apparatus of claim 11, wherein the attribute indicates that the object corresponds to a video displayed on a second device, the video displayed with an audio output corresponding to the voice input.

16. The apparatus of claim 15, wherein the augmented reality content item is selected to provide at least one of a visual transcription of the audio output, a visual translation of the audio output, or an audio translation of the audio output.

17. The apparatus of claim 11, wherein the instructions further configure the processor to:

detecting a voice command for translating the speech input, the voice command and the speech input provided by the user in association with the request,

wherein the attribute indicates that the object corresponds to the user.

18. The apparatus of claim 17, wherein the augmented reality content item is selected to provide a visual transcription of the speech input, a visual translation of the speech input, and an audio translation of the speech input.

19. The apparatus of claim 11, wherein selecting the augmented reality content item is further based on a geolocation of the device.

20. A non-transitory computer-readable storage medium comprising instructions that, when executed by a computer, cause the computer to:

receiving, by a messaging application running on a device of a user, a request to perform a scan operation in association with an image captured by a device camera;

in response to receiving the request, determining a travel parameter associated with the request and a property of an object depicted in the image;

selecting an augmented reality content item from a plurality of augmented reality content items based on at least one of the travel parameter or the attribute, the augmented reality content item configured to present augmented reality content based on a speech input associated with the request;

receiving the voice input;

obtaining at least one of a transcription or a translation of the speech input; and

presenting the augmented reality content item in association with the image, the augmented reality content item including the at least one of the transcription or the translation.

Images